Immerse yourself in a Data Risk Analyst role where you will play a pivotal part in safeguarding our platform's integrity.
Your key responsibility will be to leverage your analytical expertise to work on proactive monitoring, analysis and regular reporting of customer activity, to detect and mitigate potential risks to ensure a fair gaming environment.
You will identify potential risks and trends that may impact the organisation by using advanced analytics and statistical methods to analyse large datasets. You'll develop and maintain risk models to quantify and predict potential threats, providing actionable insights to the decision-making process.
You'll generate clear and concise reports, dashboards, and visualizations to communicate risk-related findings to stakeholders.
You will be joining a Business Intelligence Team and will report to a Data Analytics Lead for Risk.
The company is passionate about providing a workplace that encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
We believe that the unique contributions of everyone at Easygo are the driver of our success.
Job Responsibilities:
1. Assist with the regular monitoring and analysing customer activity, transaction patterns, gameplay, and related metrics to identify any irregularities or potential risks that may indicate fraudulent behaviour or non-compliance with established guidelines.
2. Conduct detailed investigations into flagged or reported risks, delivering timely assessments, findings, and resolutions.
3. Develop, generate, and deliver regular reports to relevant stakeholders, offering clear insights to guide decision-making and enhance risk mitigation strategies.
4. Collaborate with cross-functional teams to refine and enhance risk detection and monitoring protocols.
5. Continuously improve risk assessment methodologies, ensuring alignment with evolving threats and business requirements.
Requirements:
* A minimum of 2 years' experience in data analytics
* Experience working with large transactional datasets in fraud, forensic, remediation or risk-related data roles
* Proficiency in data analysis and visualisation tools (e.g., Excel, Tableau, Power BI)
* Experience with SQL and Python
* Strong problem solving and analysis skills, combined with effective judgement and communication skills.
Perks:
* EAP access for you and your family
* Access to over 9,000 courses across our Learning and Development Platform
* Paid volunteer day
* Two full-time baristas who will make your daily coffee, tea or fresh juice
* Daily catered breakfast
* Massage Wednesdays - we get professionals to do this
* Team lunches and happy hour in the office from 4pm on Fridays
* Fun office environment with pool tables, table tennis and all your favourite gaming consoles
* Help yourself drinks fridges and snack shelves